[HTML][HTML] Automatic detection of glaucoma via fundus imaging and artificial intelligence: A review
LJ Coan, BM Williams, VK Adithya, S Upadhyaya… - Survey of …, 2023 - Elsevier
Glaucoma is a leading cause of irreversible vision impairment globally, and cases are
continuously rising worldwide. Early detection is crucial, allowing timely intervention that can …
continuously rising worldwide. Early detection is crucial, allowing timely intervention that can …
Enhancing crop productivity and sustainability through disease identification in maize leaves: Exploiting a large dataset with an advanced vision transformer model
I Pacal - Expert Systems with Applications, 2024 - Elsevier
The timely identification of diseases in maize leaf offers several benefits such as increased
crop productivity, reduced reliance on harmful chemicals, and improved production of …
crop productivity, reduced reliance on harmful chemicals, and improved production of …
Clinical pharmacology and pharmacogenetics of prostaglandin analogues in glaucoma
L Zhou, W Zhan, X Wei - Frontiers in Pharmacology, 2022 - frontiersin.org
Glaucoma is the main cause of irreversible visual loss worldwide, and comprises a group of
progressive, age-related, and chronic optic neuropathies. Prostaglandin analogs are …
progressive, age-related, and chronic optic neuropathies. Prostaglandin analogs are …
MaxCerVixT: A novel lightweight vision transformer-based Approach for precise cervical cancer detection
I Pacal - Knowledge-Based Systems, 2024 - Elsevier
Early detection is essential for cervical cancer therapy, which is the fourth most frequent
malignancy worldwide. While the Pap smear test is the established approach for identifying …
malignancy worldwide. While the Pap smear test is the established approach for identifying …
[HTML][HTML] Applications of artificial intelligence and deep learning in glaucoma
D Chen, EA Ran, TF Tan, R Ramachandran, F Li… - Asia-Pacific Journal of …, 2023 - Elsevier
Diagnosis and detection of progression of glaucoma remains challenging. Artificial
intelligence–based tools have the potential to improve and standardize the assessment of …
intelligence–based tools have the potential to improve and standardize the assessment of …
A review on lung disease recognition by acoustic signal analysis with deep learning networks
AH Sfayyih, N Sulaiman, AH Sabry - Journal of big Data, 2023 - Springer
Recently, assistive explanations for difficulties in the health check area have been made
viable thanks in considerable portion to technologies like deep learning and machine …
viable thanks in considerable portion to technologies like deep learning and machine …
Accuracy and feasibility with AI-assisted OCT in retinal disorder community screening
J Bai, Z Wan, P Li, L Chen, J Wang, Y Fan… - Frontiers in Cell and …, 2022 - frontiersin.org
Objective: To evaluate the accuracy and feasibility of the auto-detection of 15 retinal
disorders with artificial intelligence (AI)-assisted optical coherence tomography (OCT) in …
disorders with artificial intelligence (AI)-assisted optical coherence tomography (OCT) in …
Advancements in Glaucoma Diagnosis: The Role of AI in Medical Imaging
CP Bragança, JM Torres, LO Macedo, CPA Soares - Diagnostics, 2024 - mdpi.com
The progress of artificial intelligence algorithms in digital image processing and automatic
diagnosis studies of the eye disease glaucoma has been growing and presenting essential …
diagnosis studies of the eye disease glaucoma has been growing and presenting essential …
Artificial intelligence for glaucoma: state of the art and future perspectives
RC Barão, R Hemelings, LA Pinto… - Current Opinion in …, 2024 - journals.lww.com
Artificial intelligence for glaucoma: state of the art and f... : Current Opinion in
Ophthalmology Artificial intelligence for glaucoma: state of the art and future perspectives …
Ophthalmology Artificial intelligence for glaucoma: state of the art and future perspectives …
[HTML][HTML] Validating the Generalizability of Ophthalmic Artificial Intelligence Models on Real-World Clinical Data
H Rashidisabet, A Sethi, P Jindarak… - … Vision Science & …, 2023 - iovs.arvojournals.org
Purpose: This study aims to investigate generalizability of deep learning (DL) models trained
on commonly used public fundus images to an instance of real-world data (RWD) for …
on commonly used public fundus images to an instance of real-world data (RWD) for …